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Revise embeddings folder structure and explanation

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  1. README.md +5 -2
README.md CHANGED
@@ -69,10 +69,13 @@ dataset/
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  ...
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  image_set_63.tar.gz
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  embeddings/
 
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  txt_emb_biocap.npy
 
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  txt_emb_bioclip.npy
 
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  txt_emb_species.json
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- txt_emb_species.npy # duplicate of txt_emb_bioclip.npy to support backwards compatibility
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  metadata/
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  catalog.csv
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  species_level_taxonomy_chains.csv
@@ -90,7 +93,7 @@ visuals/
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  phyla_ToL_tree.png
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  ```
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- [BioCLIP](https://huggingface.co/imageomics/bioclip) and [BioCAP](https://huggingface.co/imageomics/biocap) text embeddings for TreeOfLife-10M images are provided under `embeddings/txt_emb_<model-name>.npy`. The BioCLIP text embeddigns are duplicated as `txt_emb_species.npy` to maintain [`pybioclip`](http://github.com/Imageomics/pybioclip) functionality for versions 2.1.1 and earlier, which do not incorporate BioCAP as a "Tree of Life Model".
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  Each `image_set` is approximately 30GB and contains 100 thousand images, each named `<treeoflife_id>.jpg`.
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  We cannot reproduce the `iNat21` data, but step-by-step [***reproduction instructions***](https://github.com/Imageomics/bioclip/blob/main/docs/imageomics/treeoflife10m.md#reproduce-treeoflife-10m) are provided on the BioCLIP GitHub repository to recreate the proper webdataset structure. This process will produce a collection of files named `shard-######.tar` in a `train`, `val`, and `train_small` folder with which to work.
 
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  ...
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  image_set_63.tar.gz
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  embeddings/
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+ txt_emb_biocap.json
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  txt_emb_biocap.npy
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+ txt_emb_bioclip.json
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  txt_emb_bioclip.npy
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+ # generic 'species' emb files are duplicates of bioclip versions for pybioclip backward-compatibility
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  txt_emb_species.json
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+ txt_emb_species.npy
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  metadata/
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  catalog.csv
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  species_level_taxonomy_chains.csv
 
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  phyla_ToL_tree.png
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  ```
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+ [BioCLIP](https://huggingface.co/imageomics/bioclip) and [BioCAP](https://huggingface.co/imageomics/biocap) text embeddings for TreeOfLife-10M images are provided under `embeddings/txt_emb_<model-name>.npy` with associated labels `embeddings/txt_emb_<model-name>.json`. The BioCLIP text embeddings and labels are duplicated as `txt_emb_species.npy` and `txt_emb_species.json` to maintain [`pybioclip`](http://github.com/Imageomics/pybioclip) functionality for versions 2.1.x and earlier, which do not incorporate BioCAP as a "Tree of Life Model". All three `embeddings/*.json` files are the same, since each model used the same label set; they are duplicated under the model-specific naming convention for [consistent by-model access by pybioclip](https://github.com/Imageomics/pybioclip/pull/171).
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  Each `image_set` is approximately 30GB and contains 100 thousand images, each named `<treeoflife_id>.jpg`.
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  We cannot reproduce the `iNat21` data, but step-by-step [***reproduction instructions***](https://github.com/Imageomics/bioclip/blob/main/docs/imageomics/treeoflife10m.md#reproduce-treeoflife-10m) are provided on the BioCLIP GitHub repository to recreate the proper webdataset structure. This process will produce a collection of files named `shard-######.tar` in a `train`, `val`, and `train_small` folder with which to work.